Naeem Radi
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computer Science Applications top 5%
- Signal Processing
- Media Technology top 10%
- Co-authors
- Abir HussainDhiya Al‐JumeilyRobert KeightRaghad Al-ShabandarAndy LawsPaulo LisböaHaya AlaskarPaul Fergus
- Topics
- Image and Signal Denoising Methods (3 papers)Advanced Data Compression Techniques (3 papers)Imbalanced Data Classification Techniques (2 papers)
- Cited by
- Computer Science ApplicationsComputer Vision and Pattern RecognitionHealth Information Management
- Journals
- NeurocomputingIEEE Transactions on Nuclear ScienceIEEE/ACM Transactions on Computational Biology and Bioinformatics
- Partner nations
- United KingdomIraqUnited Arab Emirates
In The Last Decade
Naeem Radi
10 papers receiving 359 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 180
- Artificial Intelligence 114
- Computer Science Applications 81
- Signal Processing 42
- Media Technology 30
Countries citing papers authored by Naeem Radi
This map shows the geographic impact of Naeem Radi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Naeem Radi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naeem Radi more than expected).
Fields of papers citing papers by Naeem Radi
This network shows the impact of papers produced by Naeem Radi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Naeem Radi. The network helps show where Naeem Radi may publish in the future.
Co-authorship network of co-authors of Naeem Radi
This figure shows the co-authorship network connecting the top 25 collaborators of Naeem Radi. A scholar is included among the top collaborators of Naeem Radi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Naeem Radi. Naeem Radi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 169 | |
| 2 | 6 | |
| 3 | 39 | |
| 4 | 84 | |
| 5 | 3 | |
| 6 | 27 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 37 | |
| 10 | 0 | |
| 11 | 7 |
About Naeem Radi
Naeem Radi is a scholar working on Computer Science Applications, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 11 papers that have together received 376 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (3 papers), Advanced Data Compression Techniques (3 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Computer Science Applications (81 citations), Computer Vision and Pattern Recognition (180 citations) and Health Information Management (27 citations). Naeem Radi has collaborated with scholars based in United Kingdom, Iraq and United Arab Emirates. Frequent co-authors include Abir Hussain, Dhiya Al‐Jumeily, Abir Hussain, Robert Keight, Raghad Al-Shabandar, Andy Laws, Paulo Lisböa, Haya Alaskar, Paul Fergus and Ahmed J. Aljaaf. Their work appears in journals such as Neurocomputing, IEEE Transactions on Nuclear Science and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.